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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 88762
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    INDEX
    Explanations

    references to burning and burn rates in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    burn rate

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aviar
    -0.47
    ftagPool
    -0.46
    geschenk
    -0.43
    astéro
    -0.42
     noqa
    -0.42
     Collider
    -0.41
    RuleContext
    -0.41
    GridData
    -0.41
    acies
    -0.41
    AndroidJUnit
    -0.39
    POSITIVE LOGITS
     Burn
    1.00
    Burn
    0.97
     Burns
    0.92
     burn
    0.91
    Burns
    0.87
     BURN
    0.87
     burns
    0.83
    burn
    0.77
     burned
    0.76
     Burning
    0.74
    Activations Density 0.008%

    No Known Activations